
where the distribution \(P\)  over \(\mathcal {X}\)  is induced by the distribution \(\mathfrak {G}\)  over \(\mathcal {G}\) . As it can be seen from (REF ) if \(\mathfrak {G}\)  is not chosen adequately, \(\hat{R}_{aug}\)  can be a poor estimate of \(R\) , introducing biases that outweigh the benefits of data augmentation [1]}, [2]}.
